this post was submitted on 23 Dec 2024
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Technology

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231
Technologist: 'Fining Big Tech isn't working, make them give away illegally trained LLMs as public domain' (www.theregister.com)
submitted 2 days ago by thelucky8@beehaw.org to c/technology@beehaw.org
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Opinionated article by Alexander Hanff, a computer scientist and privacy technologist who helped develop Europe's GDPR (General Data Protection Regulation) and ePrivacy rules.

We cannot allow Big Tech to continue to ignore our fundamental human rights. Had such an approach been taken 25 years ago in relation to privacy and data protection, arguably we would not have the situation we have to today, where some platforms routinely ignore their legal obligations at the detriment of society.

Legislators did not understand the impact of weak laws or weak enforcement 25 years ago, but we have enough hindsight now to ensure we don’t make the same mistakes moving forward. The time to regulate unlawful AI training is now, and we must learn from mistakes past to ensure that we provide effective deterrents and consequences to such ubiquitous law breaking in the future.

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[–] Semjaza@lemmynsfw.com 1 points 1 day ago (1 children)

OK, if you ignore the hyperbole of my pre-christmas stress aggressive start, how much of the rest do you disagree with?

Less combatitively, I'm of the stance that just make AI generated materials exempt from copyright and you'll at least limit mass adoption in public facing things by big money. Doesn't address all the issues, though.

[–] p03locke@lemmy.dbzer0.com 3 points 1 day ago* (last edited 1 day ago) (1 children)

AI-generated materials are already exempt from copyright. It falls under the same arguments as the monkey selfie. Which is great.

Crack copyright like a fucking egg. It only benefited the rich, anyway.

[–] Semjaza@lemmynsfw.com 1 points 21 hours ago

That's good, and I'm glad to have been informed of it.

Thank you.

My copyright change is the 17 years from first publication. Feels maybe still a little long, but much better than what we have now.